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production environments for large-scale data processing. Contribute to one or more of the ongoing projects within the ATLAS group, including the development of software for high-performance computing systems
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sources. Synthesize information from multiple sources to produce/refine key deliverables for stakeholders, including the Department of Energy. Design duties Modify graphics, scientific figures, and
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on the U.S. energy sector. Our research seeks to inform public and private decision-making on issues such as electricity system planning, energy resources and delivery, new large loads, reliability
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theoretical chemistry tools to investigate ultrafast and quasi-equilibrium phenomenon for large, and complex interfacial systems. A primary goal will be bridging the time scale and length scale gap for non
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expertise, facilitate the cross pollination of skills, provide training, centralize toolsets and data management, as well as agilely shift resources to support projects and divisions across the Laboratory
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new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department of Energy (DOE) experimental facilities. This role involves research and
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Lakehouse, ensuring large scientific datasets are structured for efficient querying and analysis. * Design, build, and maintain fault-tolerant, scalable, and efficient ETL/ELT data pipelines to ingest
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National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex
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machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale
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Control Valves, High Pressure Gas Manifolds, Large and Small Pumps, and underground utilities. Respond to mechanical and system emergencies to identify safety hazards, prevent damage to property and assess